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Xiangyu DENG, Aijia ZHANG, Jinhong YE, “An Algorithm of Deformation Image Correction Based on Spatial Mapping,” Chinese Journal of Electronics, vol. x, no. x, article no. , xxxx doi: 10.23919/cje.2022.00.443
Citation: Xiangyu DENG, Aijia ZHANG, Jinhong YE, “An Algorithm of Deformation Image Correction Based on Spatial Mapping,” Chinese Journal of Electronics, vol. x, no. x, article no. , xxxx doi: 10.23919/cje.2022.00.443

An Algorithm of Deformation Image Correction Based on Spatial Mapping

doi: 10.23919/cje.2022.00.443
Funds:  This work was supported by the National Natural Science Foundation of China (61961037) and Industrial Support Plan of Education Department of Gansu Province (2021CYZC-30).
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  • Author Bio:

    Xiangyu DENG (corresponding author) was born in Gansu Province, China, he is currently a Professor with the College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou. His current research interests include digital image processing, artificial neural networks, and pattern recognition. (Email: dengxy000@126.com)

    Aijia ZHANG was born in Hebei Province, China, she is currently a M.S. candidate in the School of Physics and Electronic Engineering, Northwest Normal University. Her current research interest is digital image processing. (Email: zaj_serendipity@126.com)

    Jinhong YE was born in Guangzhou Province, China, he is currently a M.S. candidate in the School of Physics and Electronic Engineering, Northwest Normal University. His current research interests are digital image processing and artificial intelligence. (Email: yejh000@126.com)

  • Available Online: 2023-08-22
  • The original image undergoes geometric deformation in terms of position, shape, size, and orientation due to the shooting angle or capturing process during image acquisition. This brings about inconveniences and significant challenges in various image processing fields such as image fusion, denoising, recognition, and segmentation. To enhance the processing ability and recognition accuracy of deformation images, an adaptive image deformity correction algorithm is proposed for quadrilaterals and triangles. The deformation image undergoes preprocessing, and the contour of the image edge is extracted. Discrete points on the image edge are identified to accurately locate the edges. The deformation of the quadrilateral or triangle is transformed into a standard rectangular or equilateral triangular image using the proposed three-dimensional homography transformation algorithm. This effectively completes the conversion from an irregular image to a regular image in an adaptive manner. Numerous experiments demonstrate that the proposed algorithm surpasses traditional methods like Hough transform and Radon transform. It improves the effectiveness of correcting deformation in images, effectively addresses the issue of geometric deformation, and provides a new technical method for processing deformation images.
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